AI
AI Solutions
Production LLM & ML systems — RAG pipelines, agents, and copilots that actually ship.
Overview
We turn AI from demo to product. Our AI practice builds retrieval-augmented generation pipelines, autonomous agents, and copilots integrated into real workflows. We focus on accuracy, cost, and guardrails — the things that make AI usable in production, not just impressive in a demo.
At a glance
- Category
- AI
- Timeline
- 6 – 16 weeks
- Technologies
- OpenAIAnthropicLangChainPineconeSupabasePython
Features
- RAG pipelines with vector search
- Autonomous agent orchestration
- LLM guardrails & evaluation
- Fine-tuning & prompt engineering
- Real-time streaming responses
- Cost & latency optimization
Benefits
- Automate support, research, and ops
- Grounded answers with your data
- Measurable accuracy with evals
- Predictable cost per query
Development process
01
Discover
Define scope, goals, and success metrics.
02
Design
Prototype and validate before building.
03
Build
Ship weekly increments in your repo.
04
Launch
Deploy, measure, and iterate.
FAQ
Yes — we build within your VPC or tenancy and never train on your data without explicit consent.